my_awesome_billsum_model
This model is a fine-tuned version of t5-small on the billsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.5717
- Rouge1: 0.1399
- Rouge2: 0.0461
- Rougel: 0.1159
- Rougelsum: 0.1157
- Gen Len: 19.0
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 62 | 2.8733 | 0.1274 | 0.0331 | 0.1049 | 0.1049 | 19.0 |
| No log | 2.0 | 124 | 2.6521 | 0.1381 | 0.0436 | 0.1123 | 0.1121 | 19.0 |
| No log | 3.0 | 186 | 2.5899 | 0.1365 | 0.0432 | 0.1123 | 0.1122 | 19.0 |
| No log | 4.0 | 248 | 2.5717 | 0.1399 | 0.0461 | 0.1159 | 0.1157 | 19.0 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
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